Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution
In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG si...
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my.utm.301032017-02-05T00:04:18Z http://eprints.utm.my/id/eprint/30103/ Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution Sudirman, Rubita Daud, W. M. B. W. TK Electrical engineering. Electronics Nuclear engineering In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes place don the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. The recorded data is composed of an eye movement toward four directions, i.e. upward, downward, left and right. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) by comparing the energy distribution with the change of time and frequency of each signal. A wavelet scalogram is plotted to display the different percentages of energy for each wavelet coefficient towards different movement. From the result, it is proved that the different EOG signals exhibit differences in signals energy with their corresponding scale such as left with scale 6 (8-16Hz), right with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz). IEEE 2011 Book Section PeerReviewed Sudirman, Rubita and Daud, W. M. B. W. (2011) Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution. In: Proceedings - AMS 2011: Asia Modelling Symposium 2011 - 5th Asia International Conference on Mathematical Modelling and Computer Simulation. IEEE, Kuala Lumpur, pp. 81-86. ISBN 978-145770193-1 http://dx.doi.org/10.1109/AMS.2011.26 10.1109/AMS.2011.26 |
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TK Electrical engineering. Electronics Nuclear engineering Sudirman, Rubita Daud, W. M. B. W. Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
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In this study, we describe the identification electroencephalography (EOG) signals of eye movement potentials by using wavelet algorithm which gives a lot of information than FFT. It shows the characteristic of the signals since energy is an important physical variable in signal analysis. The EOG signals are captured using electrodes place don the forehead around the eyes to record the eye movements. The wavelet features are used to determine the characteristic of eye movement waveform. The recorded data is composed of an eye movement toward four directions, i.e. upward, downward, left and right. The proposed analysis for each eyes signal is analyzed by using Wavelet Transform (WT) by comparing the energy distribution with the change of time and frequency of each signal. A wavelet scalogram is plotted to display the different percentages of energy for each wavelet coefficient towards different movement. From the result, it is proved that the different EOG signals exhibit differences in signals energy with their corresponding scale such as left with scale 6 (8-16Hz), right with scale 8 (2-4Hz), downward with scale 9 (1-2Hz) and upward with scale 7 (4-8Hz). |
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Book Section |
author |
Sudirman, Rubita Daud, W. M. B. W. |
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Sudirman, Rubita Daud, W. M. B. W. |
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Sudirman, Rubita |
title |
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
title_short |
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
title_full |
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
title_fullStr |
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
title_full_unstemmed |
Time frequency analysis of electrooculograph (EOG) signal of eye movement potentials based on wavelet energy distribution |
title_sort |
time frequency analysis of electrooculograph (eog) signal of eye movement potentials based on wavelet energy distribution |
publisher |
IEEE |
publishDate |
2011 |
url |
http://eprints.utm.my/id/eprint/30103/ http://dx.doi.org/10.1109/AMS.2011.26 |
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13.18916 |